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Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment: Second International Workshop, DEVOPS 2019, Château de Villebrumier, France, May 6–8, 2019, Revised Selected Papers (Lecture Notes in Computer Science #12055)
by Bertrand Meyer Manuel Mazzara Jean-Michel BruelThis book constitutes revised selected papers of the Second International Workshop on Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment, DEVOPS 2019, held at the Château de Villebrumier, France, in May 2019.The 15 papers presented in this volume were carefully reviewed and selected from 19 submissions. They cover a wide range of problems arising from DevOps and related approaches: current tools, rapid development-deployment processes, modeling frameworks, anomaly detection in software releases, DevDataOps, microservices, and related topics.
Software Engineering at Google: Lessons Learned from Programming Over Time
by Titus Winters Tom Manshreck Hyrum WrightToday, software engineers need to know not only how to program effectively but also how to develop proper engineering practices to make their codebase sustainable and healthy. This book emphasizes this difference between programming and software engineering. <p><p>How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization. <p><p>You’ll explore three fundamental principles that software organizations should keep in mind when designing, architecting, writing, and maintaining code: <li>How time affects the sustainability of software and how to make your code resilient over time <li>How scale affects the viability of software practices within an engineering organization <li>What trade-offs a typical engineer needs to make when evaluating design and development decisions
Software Engineering Design: Theory and Practice (Applied Software Engineering Ser.)
by Carlos OteroTaking a learn-by-doing approach, Software Engineering Design: Theory and Practice uses examples, review questions, chapter exercises, and case study assignments to provide students and practitioners with the understanding required to design complex software systems. Explaining the concepts that are immediately relevant to software designers, it be
Software Engineering Education for a Global E-Service Economy
by Gianmario Motta Bing WuThis book presents and discusses the state of the art and future trends in software engineering education. It introduces new and innovative methods, models and frameworks to focus the training towards the needs and requirements of the industry. Topics included in this book are: education models for software engineering, development of the software engineering discipline, innovation and evaluation of software engineering education, curriculum for software engineering education, requirements and cultivation of outstanding software engineers for the future and cooperation models for industries and software engineering education.
Software Engineering Education Going Agile
by Stephan Kassel Bing WuThis book presents and discusses the state of the art and future trends in software engineering education, with a focus on agile methods and their budgetary implications. It introduces new and innovative methods, models and frameworks to focus the training towards the industry's requirements. The range of topics covered includes education models for software engineering, development of the software engineering discipline, innovation and evaluation of software engineering education, curricula for software engineering education, requirements and cultivation of outstanding software engineers for the future and cooperation models for industry and software engineering education.
Software Engineering for Absolute Beginners: Your Guide to Creating Software Products
by Nico LoubserStart programming from scratch, no experience required. This beginners’ guide to software engineering starts with a discussion of the different editors used to create software and covers setting up a Docker environment. Next, you will learn about repositories and version control along with its uses. Now that you are ready to program, you’ll go through the basics of Python, the ideal language to learn as a novice software engineer. Many modern applications need to talk to a database of some kind, so you will explore how to create and connect to a database and how to design one for your app. Additionally you will discover how to use Python’s Flask microframework and how to efficiently test your code. Finally, the book explains best practices in coding, design, deployment, and security. Software Engineering for Absolute Beginners answers the question of what topics you should know when you start out to learn software engineering. This book covers a lot of topics, and aims to clarify the hidden, but very important, portions of the software development toolkit.After reading this book, you, a complete beginner, will be able to identify best practices and efficient approaches to software development. You will be able to go into a work environment and recognize the technology and approaches used, and set up a professional environment to create your own software applications.What You Will LearnExplore the concepts that you will encounter in the majority of companies doing software development Create readable code that is neat as well as well-designed Build code that is source controlled, containerized, and deployable Secure your codebase Optimize your workspaceWho This Book Is For A reader with a keen interest in creating software. It is also helpful for students.
Software Engineering for Data Scientists
by Catherine NelsonData science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering,and clearly explains how to apply the best practices from software engineering to data science.Examples are provided in Python, drawn from popular packages such as NumPy and pandas. If you want to write better data science code, this guide covers the essential topics that are often missing from introductory data science or coding classes, including how to:Understand data structures and object-oriented programmingClearly and skillfully document your codePackage and share your codeIntegrate data science code with a larger code baseLearn how to write APIsCreate secure codeApply best practices to common tasks such as testing, error handling, and loggingWork more effectively with software engineersWrite more efficient, maintainable, and robust code in PythonPut your data science projects into productionAnd more
Software Engineering for Image Processing Systems
by Philip A. LaplanteSoftware Engineering for Image Processing Systems creates a modern engineering framework for the specification, design, coding, testing, and maintenance of image processing software and systems. The text is designed to benefit not only software engineers, but also workers with backgrounds in mathematics, the physical sciences, and other engineering
Software Engineering for Internet Applications
by Eve Astrid Andersson Philip Greenspun Andrew GrumetAfter completing this self-contained course on server-based Internet applications software, students who start with only the knowledge of how to write and debug a computer program will have learned how to build web-based applications.
Software Engineering for Resilient Systems: 11th International Workshop, SERENE 2019, Naples, Italy, September 17, 2019, Proceedings (Lecture Notes in Computer Science #11732)
by Radu Calinescu Felicita Di GiandomenicoThis book constitutes the refereed proceedings of the 11th International Workshop on Software Engineering for Resilient Systems, SERENE 2019, held in Naples, Italy, in September 2019. The 5 full papers and 4 short papers presented together with 1 keynote and 1 invited paper were carefully reviewed and selected from 12 submissions. They cover the following areas: resilience engineering in complex and critical applications; testing and validation methods; security, trust and privacy management.
Software Engineering for Resilient Systems
by Ivica Crnkovic Elena TroubitsynaThis book constitutes the refereed proceedings of the 8th International Workshop on Software Engineering for Resilient Systems, SERENE 2016, held in Gothenburg, Sweden, in September 2016. The 10 papers presented were carefully reviewed and selected from 15 submissions. They cover the following areas: development of resilient systems; incremental development processes for resilient systems; requirements engineering and re-engineering for resilience; frameworks, patterns and software architectures for resilience; engineering of self-healing autonomic systems; design of trustworthy and intrusion-safe systems; resilience at run-time (mechanisms, reasoning and adaptation); resilience and dependability (resilience vs. robustness, dependable vs. adaptive systems); verification, validation and evaluation of resilience; modeling and model based analysis of resilience properties; formal and semi-formal techniques for verification and validation; experimental evaluations of resilient systems; quantitative approaches to ensuring resilience; resilience prediction; cast studies and applications; empirical studies in the domain of resilient systems; methodologies adopted in industrial contexts; cloud computing and resilient service provisioning; resilience for data-driven systems (e. g. , big data-based adaption and resilience); resilient cyber-physical systems and infrastructures; global aspects of resilience engineering: education, training and cooperation.
Software Engineering for Resilient Systems
by Alessandro Fantechi Patrizio PelliccioneThis book constitutes the refereed proceedings of the 7th International Workshop on Software Engineering for Resilient Systems, SERENE 2015, held in Paris, France, in September 2015. The 10 revised technical papers presented were carefully reviewed and selected from 18 submissions. The papers are organized in topical sections on development of resilient systems, verification, validation and evaluation of resilience, case studies and applications.
Software Engineering for Resilient Systems
by Alexander Romanovsky Elena A. TroubitsynaThis book constitutes the refereed proceedings of the 5th International Workshop on Software Engineering for Resilient Systems, SERENE 2013, held in Kiev, Ukraine, in October 2013. The 13 revised full papers were carefully reviewed and selected from 21 submissions. The papers are organized in topical sections on resilient software and design, rigorous reasoning, applications, concepts, and analysis.
Software Engineering for Science (Chapman & Hall/CRC Computational Science)
by Jeffrey C. Carver Neil P. Chue Hong George K. ThiruvathukalSoftware Engineering for Science provides an in-depth collection of peer-reviewed chapters that describe experiences with applying software engineering practices to the development of scientific software. It provides a better understanding of how software engineering is and should be practiced, and which software engineering practices are effective for scientific software. The book starts with a detailed overview of the Scientific Software Lifecycle, and a general overview of the scientific software development process. It highlights key issues commonly arising during scientific software development, as well as solutions to these problems. The second part of the book provides examples of the use of testing in scientific software development, including key issues and challenges. The chapters then describe solutions and case studies aimed at applying testing to scientific software development efforts. The final part of the book provides examples of applying software engineering techniques to scientific software, including not only computational modeling, but also software for data management and analysis. The authors describe their experiences and lessons learned from developing complex scientific software in different domains. About the Editors Jeffrey Carver is an Associate Professor in the Department of Computer Science at the University of Alabama. He is one of the primary organizers of the workshop series on Software Engineering for Science (http://www.SE4Science.org/workshops). Neil P. Chue Hong is Director of the Software Sustainability Institute at the University of Edinburgh. His research interests include barriers and incentives in research software ecosystems and the role of software as a research object. George K. Thiruvathukal is Professor of Computer Science at Loyola University Chicago and Visiting Faculty at Argonne National Laboratory. His current research is focused on software metrics in open source mathematical and scientific software.
Software Engineering for Variability Intensive Systems: Foundations and Applications
by Ivan Mistrik Matthias Galster Bruce R. MaximThis book addresses the challenges in the software engineering of variability-intensive systems. Variability-intensive systems can support different usage scenarios by accommodating different and unforeseen features and qualities. The book features academic and industrial contributions that discuss the challenges in developing, maintaining and evolving systems, cloud and mobile services for variability-intensive software systems and the scalability requirements they imply. The book explores software engineering approaches that can efficiently deal with variability-intensive systems as well as applications and use cases benefiting from variability-intensive systems.
Software Engineering Frameworks for the Cloud Computing Paradigm
by Saqib Saeed Zaigham MahmoodThis book presents the latest research on Software Engineering Frameworks for the Cloud Computing Paradigm, drawn from an international selection of researchers and practitioners. The book offers both a discussion of relevant software engineering approaches and practical guidance on enterprise-wide software deployment in the cloud environment, together with real-world case studies. Features: presents the state of the art in software engineering approaches for developing cloud-suitable applications; discusses the impact of the cloud computing paradigm on software engineering; offers guidance and best practices for students and practitioners; examines the stages of the software development lifecycle, with a focus on the requirements engineering and testing of cloud-based applications; reviews the efficiency and performance of cloud-based applications; explores feature-driven and cloud-aided software design; provides relevant theoretical frameworks, practical approaches and future research directions.
Software Engineering from Scratch: A Comprehensive Introduction Using Scala
by Jason Lee HodgesLearn software engineering from scratch, from installing and setting up your development environment, to navigating a terminal and building a model command line operating system, all using the Scala programming language as a medium. The demand for software engineers is growing exponentially, and with this book you can start your journey into this rewarding industry, even with no prior programming experience.Using Scala, a language known to contain “everything and the kitchen sink,” you’ll begin coding on a gentle learning curve by applying the basics of programming such as expressions, control flow, functions, and classes. You’ll then move on to an overview of all the major programming paradigms. You’ll finish by studying software engineering concepts such as testing and scalability, data structures, algorithm design and analysis, and basic design patterns. With Software Engineering from Scratch as your navigator, you can get up to speed on the software engineering industry, develop a solid foundation of many of its core concepts, and develop an understanding of where to invest your time next. What You Will LearnUse Scala, even with no prior knowledgeDemonstrate general Scala programming concepts and patternsBegin thinking like a software engineerWork on every level of the software development cycleWho This Book Is ForAnyone who wants to learn about software engineering; no prior programming experience required.
Software Engineering in IoT, Big Data, Cloud and Mobile Computing (Studies in Computational Intelligence #930)
by Haengkon Kim Roger LeeThis edited book presents scientific results of the International Semi-Virtual Workshop on Software Engineering in IoT, Big data, Cloud and Mobile Computing (SE-ICBM 2020) which was held on October 15, 2020, at Soongsil University, Seoul, Korea. The aim of this workshop was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The workshop organizers selected the best papers from those papers accepted for presentation at the workshop. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 17 of the conference’s most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science.
Software Engineering in the Era of Cloud Computing (Computer Communications and Networks)
by Muthu Ramachandran Zaigham MahmoodThis book focuses on the development and implementation of cloud-based, complex software that allows parallelism, fast processing, and real-time connectivity. Software engineering (SE) is the design, development, testing, and implementation of software applications, and this discipline is as well developed as the practice is well established whereas the Cloud Software Engineering (CSE) is the design, development, testing, and continuous delivery of service-oriented software systems and applications (Software as a Service Paradigm). However, with the emergence of the highly attractive cloud computing (CC) paradigm, the tools and techniques for SE are changing. CC provides the latest software development environments and the necessary platforms relatively easily and inexpensively. It also allows the provision of software applications equally easily and on a pay-as-you-go basis. Business requirements for the use of software are also changing and there is a need for applications in big data analytics, parallel computing, AI, natural language processing, and biometrics, etc. These require huge amounts of computing power and sophisticated data management mechanisms, as well as device connectivity for Internet of Things (IoT) environments. In terms of hardware, software, communication, and storage, CC is highly attractive for developing complex software that is rapidly becoming essential for all sectors of life, including commerce, health, education, and transportation. The book fills a gap in the SE literature by providing scientific contributions from researchers and practitioners, focusing on frameworks, methodologies, applications, benefits and inherent challenges/barriers to engineering software using the CC paradigm.
Software Engineering Measurement
by Ph.D., John MunsonThe product of many years of practical experience and research in the software measurement business, this technical reference helps you select what metrics to collect, how to convert measurement data to management information, and provides the statistics necessary to perform these conversions. The author explains how to manage software development
Software Engineering Methods in Intelligent Algorithms: Proceedings of 8th Computer Science On-line Conference 2019, Vol. 1 (Advances in Intelligent Systems and Computing #984)
by Radek SilhavyThis book presents software engineering methods in the context of the intelligent systems. It discusses real-world problems and exploratory research describing novel approaches and applications of software engineering, software design and algorithms. The book constitutes the refereed proceedings of the Software Engineering Methods in Intelligent Algorithms Section of the 8th Computer Science On-line Conference 2019 (CSOC 2019), held on-line in April 2019.
Software Engineering Methods in Systems and Network Systems: Proceedings of 7th Computational Methods in Systems and Software 2023, Vol. 2 (Lecture Notes in Networks and Systems #934)
by Radek Silhavy Petr SilhavyThis book presents cutting-edge research and methodologies in software engineering, specifically focusing on systems and network systems. It showcases novel development approaches and network system optimizations, highlighting the field's dynamic evolution. The book is designed for experts, scholars, and professionals, offering insights and tools crucial for advancing the software engineering landscape. Its diverse content makes it an invaluable resource for seasoned professionals and those new to the field, inspiring and enriching readers' understanding of software engineering's future directions.
Software Engineering Methods in Systems and Network Systems: Proceedings of 7th Computational Methods in Systems and Software 2023, Vol. 1 (Lecture Notes in Networks and Systems #909)
by Radek Silhavy Petr SilhavyThis book presents cutting-edge research and methodologies in software engineering, specifically focusing on systems and network systems. It showcases novel development approaches and network system optimizations, highlighting the field's dynamic evolution. The book is designed for experts, scholars, and professionals, offering insights and tools crucial for advancing the software engineering landscape. Its diverse content makes it an invaluable resource for seasoned professionals and those new to the field, inspiring and enriching readers' understanding of software engineering's future directions.
Software Engineering Paralleler Systeme: Grundlagen, Algorithmen, Programmierung
by Michael UelschenMichael Uelsen beleuchtet die Softwareentwicklung aus verschiedenen Sichtweisen. In der Einführung seines Buches über das Software Engineering stellt er Anwendungsfälle dar und erläutert die Herausforderungen bei der Arbeit mit parallelen Systemen. Anschließend bringt er die Eigenschaften und Besonderheiten paralleler Systeme und Algorithmen zur Sprache. Es geht dabei vor allem um Präfixsummen, Sortier- und rekursive Suchverfahren. Daneben spielen aber auch CPU-Programmierung, GPU-Programmierung und moderne Programmiersprachen eine tragende Rolle in diesem Werk.
Software Engineering Perspectives and Application in Intelligent Systems: Proceedings of the 5th Computer Science On-line Conference 2016 (CSOC2016), Vol 2 (Advances in Intelligent Systems and Computing #465)
by Radek Silhavy Roman Senkerik Zuzana Kominkova Oplatkova Petr Silhavy Zdenka ProkopovaThe volume Software Engineering Perspectives and Application in Intelligent Systems presents new approaches and methods to real-world problems, and in particular, exploratory research that describes novel approaches in the field of Software Engineering. Particular emphasis is laid on modern trends in selected fields of interest. New algorithms or methods in a variety of fields are also presented.The 5th Computer Science On-line Conference (CSOC 2016) is intended to provide an international forum for discussions on the latest research results in all areas related to Computer Science.The addressed topics are the theoretical aspects and applications of Computer Science, Artificial Intelligences, Cybernetics, Automation Control Theory and Software Engineering.